Use of adaptive hilbert transformation for EEG segmentation and calculation of instantaneous respiration rate in neonates

Rother M, Teubner B, Winkler P, et al. Predictive value of pattern selective spectral analysis of neonatal EEG. Brain Dysfunc 1991; 4: 1–9

Krajca V, Petranek S, Patakova I, Värri A. Automatic identification of significant graphoelements in multichannel EEG recordings by adaptive segmentation and fuzzy clustering. Int J Biomed Comput 1991; 28: 71–89

Rother M, Witte H, Grießbach G. EEG brain mapping in neonates: Changes and limitations. In: Bartko G, Gerstenbrand F, Turcani P, eds. Neurology in Europe 1. London: Libbey, 1989; 281–285

Eiselt M, Schendel M, Curzi-Dascalova L, et al. Quantitative EEG in premature and full-term newborns during quiet sleep. Sleep Res 3 1994; Suppl 1: 73

Witte H, Rother M. Better quantification of neonatal respiratory sinus arrhythmia — progress by modelling and model-related physiological examinations. Med Biol Eng Comput 1989; 27: 298–306

Witte H, Rother M, Stallknecht K, GrieBbach G. Using discrete Hilbert transformation for calculation of the instantaneous respiration rate in neonates. Med Biol Eng Comput 1991; 29: 249–253

Boashash B. Estimating and interpreting the instantaneous frequency of a signal - part 2: Algorithms and applications. Proc IEEE 1992; 80: 540–568

Witte H, Stallknecht K, Ansorg J, et al. Using discrete Hilbert transformation to realize a general methodical basis for dynamic EEG mapping. A methodical investigation. Automedica 1990; 13: 1–13

Proakis JG, Manolakis DG. Introduction to digital signal processing. New York: Macmillan, 1989

Parks TW, McClellan JU. Chebychev approximation for nonrecursive digital filters with linear phase. IEEE Trans ET 1972; 19:189–194

Medlin GW, Adams JW, Leondes CT. Lagrange multiplier approach to the design of FIR filters for multirate applications. IEEE Trans Cir Sys 1988; 35: 1210–1219

Witte H, Galicki M, Dörschel J, et al. Optimization of adaptive preprocessing units during the learning process of neural networks. Application in EEG pattern recognition. In: Pöppl SJ, Handels H, eds. Mustererkennung. Informatik aktuell, Berlin: Springer, 1993: 271–280

Curzi-Dascalova L, Peirano P, Morel-Kahn F. Development of sleep states in normal prematures and full-term newborns. Dev Psychobiol 1988; 21: 431

Värri A. Digital processing of the EEG in epilepsy (Thesis). Tampere University of Technology, 1988

Witte H, Dörschel J, Grießbach G, et al. The combination of on-line preprocessing with neural network classification for EEG monitoring in neonates. Beitr Anaesth Intens Notfallmed 1994; 43: 359–373

GrieBbach G, Schack B, Putsche P. The dynamic description of stochastic signals by its momentary power and momentary frequency. Med Biol Eng Comput 1994; 32: 632–637

Witte H, Eiselt M, Patakova I, et al. Use of discrete Hilbert transformation for automatic spike mapping. A methodical investigation. Med Biol Eng Comput 1991; 29: 242–248

Raschke F. Die Kopplung zwischen Herzschlag and Atmung beim Menschen (Thesis). Philipps-University, Marburg

Arnold M, Witte H. Numerical frequency demodulation in EEG-analysis using FIR and Kalman filters. Quantitative and topological EEG and MEG analysis. Universitätsverlag Jena, 1995: 255–260

Eiselt M, Schendel M, Curzi-Dascalova L, et al. Quantitative EEG analysis in premature and full-term newborns during quiet sleep. Sleep Res 3 1994; Suppl 1: 73

Witte H, Doering A, Galicki M, et al. Application of optimized pattern recognition units in EEG analysis: Common optimization of preprocessing and weights of neural networks as well as structure optimization. MEDINFO 95 Proc 1995: 833–837

Grießbach G, Schack B. Adaptive quantile estimation and its application in analysis of biological signals. Biom J 1993; 35: 165–179

Haykin S. Adaptive filter theory. Englewood Cliffs, NJ: Prentice Hall, 1986

Witte H, Rother M. High frequency and low frequency heart rate fluctuations analysis in newborns — a review of possibilities and limitations. Basic Res Cardiol 1992; 87: 193–204

Yao Y, Freeman WJ, Burke B, Yang Q. Pattern recognition by a distributed neural network: An industrial application. Neural Networks 1991; 4: 103–121

Finley JP, Nugent ST, Periodicities in respiration and heart rate in newborns. Can J Phys Pharmacol 1983; 61: 329–335

Rompelman O, Pijnacker Horndijk WP. New method for the assessment of neonatal respiratory sinus arrhythmia. Med Biol Eng Comput 1987; 25: 481–486

Rother M, Witte H, Zwiener U, et al. Cardiac aliasing — a possible cause for misinterpreting cardiorespirographic data in neonates. Early Hum Dev 1989; 20: 1–20

Scholten CA, Vos JE. Comparative investigation of the mathematical properties of some descriptors for biological point processes: Examples from the human newborn. Med Biol Eng Comput 1982; 20: 89–93